Project Overview
Affitor is an open-source AI skill library with 50 agent skills covering the complete affiliate marketing flywheel, providing tool support for every link from market research to social communication.
Core Capability Matrix
Divided into six modules:
- Trend Research and Content Discovery: Real-time monitoring of hot topics and prediction of high-attention content types;
- Data-driven Content Creation: Integrating multi-source information to generate in-depth marketing content (reviews, guides, tutorials, etc.);
- Automated Visual Content Generation: Transforming complex information into infographics suitable for visual platforms;
- Landing Page Construction and Optimization: Automatically generating high-conversion pages and supporting A/B testing;
- One-click Deployment and Publishing: Integrating multi-channel automatic content push;
- Social Intelligence and Interaction Management: Monitoring comments, replying to users, identifying potential customers, and triggering follow-ups.
Multi-platform Compatibility
Supports multiple AI platforms such as Claude Code, Pi, ChatGPT, Gemini, Cursor, and Windsurf, allowing users to switch freely.
Technical Architecture
Adopts a modular design with combinability (combining skills on demand), scalability (community contribution of new modules), and customizability (parameter adjustment to adapt to brand needs).